Motley Fool Hidden Gems Investing - Motley Fool Money: 09.28.2012

Episode Date: September 28, 2012

Apple CEO Tim Cook issues an apology over the iPhone5’s maps.  Research In Motion has a rare earnings win.  And America steels itself for a global bacon shortage.  Plus Nate Silver talks investin...g, elections and baseball in his new book The Signal and the Noise: Why So Many Predictions Fail - but Some Don’t. Learn more about your ad choices. Visit megaphone.fm/adchoices

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Starting point is 00:00:00 Chris Hill, Jr.: Everybody needs money. That's why they call it money. From Fool Global Headquarters, this is Motley Fool Money. Welcome to Motley Fool Money. Thanks for being here. I'm your host, Chris Hill, and joining me in studio this week for Motley Fool income investor James Early, and for Million Dollar Portfolio, Charlie Travers and Ron Gross. Gentlemen, good to see you again. Good to see you, too. As always, we have got a great show.
Starting point is 00:00:33 We've got earnings from Nike and Research in Motion. We have got an inside scoop on the Olive Garden that you will not want to miss. And as always, we've got a few stocks on our radar. But just like last week, we begin again with the biggest public company of them all, and that's Apple. Apple sold more than 5 million new iPhones during the opening weekend. On Monday, however, one of the big news stories was about customer complaints about the new mapping program in the iPhone 5. And guys, it got so bad that by Friday, CEO Tim Cook issued an apology saying, we are extremely sorry for the frustration this has caused our customers, and we are doing everything we can to make maps better.
Starting point is 00:01:13 James, I'll start with you. Were you surprised that he issued this apology? I was surprised by the emotion in the apology, Chris. I think that was interesting. But the bigger story here, I think, is that this is actually not a bad piece of software by general software standards. My wife likes it over the Google, actually. I mean, there are obviously problems, but the Google map version. But Steve Jobs ran Apple to such a high standard that even a pretty good piece of software is not good enough. In other words, is Tim Cook thinking more like a businessman here than a perfectionist showman? There's Apple as a business and Apple as an image.
Starting point is 00:01:50 and I don't think he's managing the latter very well. Ron, what do you think? I tested out the app, and it worked fine for me, but I'm a bit of a navigation moron, so my bar is kind of low. It's on your dating profile? The mea culpa was a bit extreme for me. Extremely sorry.
Starting point is 00:02:06 Come out and say, you know, we made a misstep, we're going to correct it. Like, it's a little bit over the top for me, a little dramatic. Charlie, let's be clear. Steve Jobs, years ago, when there was the problems with a new iPhone antenna, Oh, yeah.
Starting point is 00:02:21 He didn't apologize. He just came out and said, no, you're holding it wrong. It's your fault. It's your fault. And yet they not just survived that, they thrived. And I think in comparison, that's a great example. And I think this maps thing is going to be forgotten in less than a week. Do you think that potentially long-term this could hurt them?
Starting point is 00:02:39 Because it seems like this sort of, I agree with you that this helps. You know, the apology helps. They'll get past this. It's certainly not hurting sales of the iPhone 5. But it strikes me as the kind of thing that, Ron, if the next device that comes out, the next new iPad or new version of whatever, has some kind of similar problem, then the narrative is going to be formed, well, quality is slipping, and this is just like last time. I'd say the danger is, does this signal a kind of a strategic problem, a management problem? Did they not think this through? Did they not know this would cause problems?
Starting point is 00:03:14 problems. I've heard the Apple Maps, it's called a customer tax or a strategic tax. It's like, sorry consumers, we need to do this because we've got a plan in mind to go after Google, so you're just going to have to deal with it. Do they really vet that enough? If this continues, if this becomes their Quickster moment in Netflix parlance, that could be a problem. I don't think it is, but we'll watch it. O' James, what do you think? On a scale of one to Quickster, where does this rank? Maybe a six. They can recover, but if it happens again, like you said, that's a problem. Just closing out on the stock, shares of Apple down about 2% this week.
Starting point is 00:03:54 You guys all have stocks that you are watching. Do you root for stuff like this? Do you root for things that are just going to not necessarily have long-term problems, cause long-term problems for a company, but they're just momentary glitches that knock a stock price down just a little bit so that you can get in at a better price? Is this the kind of thing you look for and hope for, Ron? If I'm still establishing a position, then yes, it's very counterintuitive. But if you're still buying a stock, you actually want the stock to go down. It's hard to root for that, but it's the truth. In the case of Apple and Million Dollar Portfolio, we have our position, we're good. We don't like to see the stock go down. We'd prefer to see it go nothing but up.
Starting point is 00:04:35 Sticking with smartphones, shares of Research in Motion up more than 10% on Friday after quarterly revenue came in, wait for it, Charlie, higher than expected. What'd you say? Yes, not just much higher than expected. It was about half a billion dollars higher than expected. Is this signs of life for RIM? It was taken that way a little bit, Chris. And so revenue was up 2% from the quarter immediately before.
Starting point is 00:05:01 However, year over year, revenue is down 31%. So I say it's a framing issue going on. That said, Research in Motion does still have 80 million subscribers. That's a lot for a company that people have written off as dead, and they have $2 billion in cash with no debt. So they do have a little bit of a war chest to try and compete. What investors need to look forward to is the launch of their BlackBerry 10 operating system coming in calendar Q1 of 2013.
Starting point is 00:05:31 Supposedly, that's going to be the next big product that's going to turn around the company. I can't wait. I can't wait. Does this get them through the next few months, or is this just sort of a momentary blip and come Monday it's business as usual? Well, it is a little troubling, but not surprising that management said there's going to be pressure in the next few quarters until BlackBerry 10 arrives. they are going to see lower unit volumes of the BlackBerry 7 handsets, and also a higher marketing expense as they start to drum up some interest in the BlackBerry 10. So it's going to be some rough going for a little bit here. Nike's first quarter profits came in higher than expected. So James, I have to ask, why did the stock drop a little bit on that news?
Starting point is 00:06:16 Well, Chris, China giveth and China taketh away, and this quarter, China tooketh away. You know, Nike was doing well for the past three, four, five years. After the Olympics, it was doing particularly well. But Chinese orders slipped. The future orders are, I think, showing like 7% or 8% growth, which is not bad, but that's sort of like in line with whatever the Chinese officials think their GDP is. So it's nothing really that bad. It's just not as fast as expected.
Starting point is 00:06:41 Still, they're doing like 6% growth in the future orders worldwide, which to me is pretty good, but obviously not as good as the market expected. When you look at Nike stock over the last five years or so, it's done well. But just year to date, it's down about 2%. And that's against the S&P 500, which is up around 15%. Is this just sort of a momentary struggle that they're going through? Or are there material things that Nike really needs to improve to see the shares appreciate? It's somewhere in between. They have a lot of inventory. The thing that stood out to me also, I think, was like a 29% boost in marketing spending this quarter. So they're really trying hard to maintain these sales, and we're going to find out if it's going to work. Why do some companies tout that? I remember the CEO of, not the CEO, but one of the executives of Pepsi was on CNBC a month or two ago and was very proudly talking about how much more money Pepsi was going to spend on marketing. And I just thought, okay, if I'm a shareholder, which I'm not, but if I'm a shareholder, I don't know how excited I am about that. It's actually a brilliant question, Chris, because the spending is only half the battle, right? I'm just thinking we're spitting this much more, but we don't know if that's good or not until we see the return.
Starting point is 00:07:56 And when it comes back around, it's like I'm throwing the boomerang, but I don't know if we'll catch it. Flattering the host. Always a good move. Shares of Caterpillar down around 6% this week. The company cut its earnings target with the CEO saying, Ron Gross, and I quote, we expect fairly anemic and modest growth through 2015. Anemic. You always love to hear that word. I love that. I don't think this should really be that much of a surprise. The mining sector customers are hurting.
Starting point is 00:08:21 Culinary and order prices have fallen sharply, so they're pulling back spending. In 2011, they made a very large $8 billion acquisition of Bucyrus, which is a mining equipment company. So they've really got to have revenue to support a spend like that. Bucyrus, is that what it says? Bucyrus, yeah. It sounds like a medical condition or something. It sounds like a fungus. It does, yeah, like a foot fungus.
Starting point is 00:08:43 And then, as James was saying, China is the wild card here. How much they're going to throw towards infrastructure is going to really be a big factor in how Caterpillar does over, let's say, the next several years, three to five to 10 years even. I think Caterpillar will be fine over the long run. But when we have global weak anemic growth, that has to factor in somewhere. We talk about bellwether stocks from time to time, and Caterpillar certainly fits in that category. It's got a market cap of $56 billion, 132,000 employees. When you think about Bellwethers, does this one carry a little bit more weight than others, particularly when you think about housing construction, that sort of thing?
Starting point is 00:09:20 It really actually does for me. I don't put too much credence into Bellwethers, but I kind of do think about Caterpillar. FedEx is another one that's interesting, which also came out with some lowered guidance in terms of negative things. But again, no surprise, when we look around the globe, nothing is going that well at the moment. Coming up, the scariest headline of the week will have you running to the nearest grocery store. Stay right here. You're listening to Motley Fool Money. As always, people on the program may have interest in the stocks they talk about, and The Motley Fool may have formal recommendations for or against,
Starting point is 00:10:00 so don't buy or sell stocks based solely on what you hear. Welcome back to Motley Fool Money. Chris Hill here in studio with James Early, Charlie Travers and Ron Gross. Guys, not a great week for electric cars. Toyota scrapped plans to mass market a new electric minicar, and shares of Tesla Motors fell 10% on Tuesday after the company cut its sales forecast for the year. Ron, I'll just be blunt. Is it time to start betting against electric cars? This is a toughie. We're still in the early stages of this. If I look out 50 years, sure, there's electric cars. But as the CEO of Toyota said, current electric vehicles do not meet
Starting point is 00:10:37 society's needs. At the moment, that is, of course. So it's tough. Tesla, they're betting the ranch on it. They have their own issues. They're coming up upon their debt. Their covenants are bumping up against it. They're not firing all the soldiers. They are not. They just today, or this week, I should say, went back to the capital markets, the equity markets, to raise $150 million. Those shares priced at a slight discount. not a lot of demand there. But at least they were able to raise capital, shore up their balance sheet. But this is going to be a long game ahead. But Tesla is at the high end of the market. Toyota was aiming for the low end. And they
Starting point is 00:11:14 also said, we misread the market. We misread the ability of battery technology to meet consumer demands. Yeah. Then they're scrapping the whole EQ, I think that's the EQ line. Not just that there's lower demand. It sounds like there is virtually zero demand for this. Well, and I think there's a good reason for this, Chris. So, we were car shopping within in the last year. When you say we. My wife and I. And we ended up buying a Mazda 3 that gets 40 miles to the gallon. And so when you compare that against hybrid technologies, which do a little bit better, and these are very high mileage vehicles that you don't need an electric car
Starting point is 00:11:47 for, and they're much cheaper to buy up front. I was at the Walgreens the other day, and they had this electric charging station, and there's some homeless guy panhandling, and he set up his shop around that. O' Genius. And nobody was using it, that's the point. O' Nobody goes. Yeah. O' Guys, here's the scariest headline of the week. Global bacon shortage expected
Starting point is 00:12:06 to hit the United States next year. This week the U.S. Department of Agriculture issued a warning due to the droughts in the Midwest. The shortage could come as early as next year and restaurants are already being hit with price increases. Sir Charlie Travers, I turn to you. What is your plan? I just ordered my chest freezer. I've got to get ahead of this. picture that scene in an airplane where they're running through the aisle screaming. On a more serious note, there are some big companies that spend money on bacon. We've talked about the commodity cost of corn and the rising price of corn and how that hits some of
Starting point is 00:12:39 the restaurant stocks. When you look at McDonald's and Burger King and Yum! Brands, they can't be happy about the fact that the price of bacon is going up. Right. And it's not just bacon, and it's chicken as well, but to stick with the pigs. The U.S. Department of Agriculture said the hog producer is going to cut production because it's too expensive given the corn feed costs. I think the consumers will have the last word. We want our meat. All right, so for any listeners out there
Starting point is 00:13:05 who are thinking about sending us a little tang around the holidays, please send bacon. And tang, too. Apple smoked, please. Apple smoked bacon instead. You can always email us. Radioatfool.com is our email address. Continuing our conversation from last week when we talked about the Olive Garden,
Starting point is 00:13:21 let's bring in our man Steve from the other side of the glass, our number one Olive Garden fan. How are you, Steve? I'm doing great. We got an email from Bailey Wood in Washington, D.C., because last week Steve had mentioned the rolling chairs at Olive Garden. Bailey writes, as part of the Olive Garden server training, I was a server, you are introduced to Larry chairs. Back when it was a General Mills company,
Starting point is 00:13:44 the restaurants had special chairs that didn't have any arms. Almost all of the chairs do have arms, but not every customer could fit in them. So a customer by the name of Larry complained, so Olive Garden instituted a new policy and armless chairs were purchased. If you had a, quote, substantial customer, a chair without arms, a Larry chair was placed at the table before the host brought the party back to the table as a server. You were trained to pull this chair out when the party approached, but not say anything for obvious reasons. So the next time you visit the Olive Garden, ask if they still have Larry chairs.
Starting point is 00:14:21 Did you know they had names, Steve? I was always wondering why my chair never had arms, actually. This is the decline of Western civilization, is it not? I got to say, I love the backstory. I love the little sort of like internal, like, oh, yeah, if you work at Olive Garden, you know. And they kept the name. They're called the Larry chairs. All right, let's get to the stocks that are on our radar, and we'll have Steve hit you
Starting point is 00:14:42 with a question, so I hope you're prepared. Ron, you're up first. I'm circling back to the bacon conversation, and I'm going with Sanderson Farms. SAFM is the ticker. Third largest chicken producer in the U.S. Stock is getting smacked, along with our folks in the hog industry, because of rising corn and soybean prices. I've owned this one before, based on the same theme. Hopefully, corn will go back to the mean at At some point, chicken prices will rise, and this could be a pretty nice winner. Steve, question for Ron? What about when these sort of health scares, E. coli, these things pop up?
Starting point is 00:15:19 How does that affect a company like Sanderson Farms? Very poorly. The bird flu was a disaster, salmonella is obviously bad, stocks get hit. That actually sometimes can be a great entry point, unless you think that's going to persist forever. But sometimes when stocks get hit based on one-time occurrences, that's actually a good time to buy. James, your stock this week? I'm going with a company called Sassall. SSL is the ticker. This is an income investor
Starting point is 00:15:46 recommendation. It's a South African fuel company. It does coal-to-liquids technology and gas-to-liquids technology. A little bit frisky, kind of like Ron. And its staple, basically, is taking coal and turning it into fuel, but it's getting better at taking gas, like natural gas, and turning it into liquid fuel, which is very useful because we've got this global gas boom tank. So all this horizontal drilling. So all these people have a lot of gas. It's cheap. So it might make economic sense for them to convert it into fuel using this technology. Before I turn it to Steve, I don't have direct experience, but I think I understand what you mean when you refer to Ron as being frisky. But what do you mean when you refer to the stock as
Starting point is 00:16:22 being frisky? It's going to move around a lot with oil prices, basically. All right. Steve? How does transportation factor into being, though, this company is in South Africa. I'm assuming they're shipping this stuff all over the world, and South Africa seems fairly far. They actually set up technology. So Germany and South Africa got really good at turning coal into fuel because they had a lot of coal and not a lot of friends for different periods of their history. They set up the technology, Steve, in different places. So they'll set up a plant, a coal-to-liquids plant or a gas-to-liquids plant for you in whatever region you live in. Charlie?
Starting point is 00:16:56 I'm going with Accenture, tickers ACN. This is a global consulting firm. They have a giant body of research they've collected over the years, and they sell it out to companies to tell them how to run their businesses better, such as information technology deployments, manufacturing setups, and the like. They just reported earnings were up 13%, and they hiked their dividend 20%. Historically, this is a very shareholder-friendly management team. They raised that dividend every single year since they started it in 2005.
Starting point is 00:17:30 Is that the number one way to be shareholder-friendly, just to keep up in the dividend? It doesn't hurt. Yeah, one of the best, certainly. Steve? What is the average age, do you think, of an Accenture employee? I remember when Arthur Anderson was around. Do you want to ask a different question? Everyone who was 22 worked for Arthur Anderson.
Starting point is 00:17:48 You had just millions of people that were aged 22, 23, all working for Arthur Anderson. He's right about that. Yeah, you are right. They've got their army of recent college grads and also the more seasoned executives on top. If I had to peg an average age, I would go with 36. That's pretty high. Steve, Accenture, Sassall, Sanderson, Farms, any of those three tickling your fancy? I think the Sassall, the South African fuel company, sounds pretty interesting.
Starting point is 00:18:13 Is it just because James termed it frisky? Frisky definitely did help. It did win me over. It doesn't hurt. All right, Charlie Travers, James Early, Ron Gross. Guys, thanks for being here. Thank you. you, Kristen. Coming up next, a conversation with Nate Silver of The New York Times on why most predictions fail, but some don't. Don't go anywhere. You're listening to Motley Fool Money.
Starting point is 00:18:43 Welcome back to Motley Fool Money I'm Chris Hill Nate Silver is a statistician, writer, and founder of the New York Times political blog 538.com His new book is The Signal and the Noise Why So Many Predictions Fail But Some Don't Nate, thanks for being here Yeah, thank you, Chris
Starting point is 00:19:10 The rare in-studio guest on Motley Fool Money I love it. Early in your book, you write, we have a problem, we love to make predictions, and we're not very good at it. Why is that? Why are we bad at making predictions? Well, I think maybe the first question is, why do we enjoy making predictions so much? And I think it has to do with, we have all these things that are uncertain in our lives, and we feel that if only we could predict them, then we exert more control over our lives. Everything would be great. Right, yeah. Of course, you could predict which stocks are going to increase by 50% over the next five years, and you'd have a very nice life eventually. But the problem is that we aren't as good at using all this information that's out there as we think we are.
Starting point is 00:19:54 So what happens in prediction is you have data, information, juxtaposed against human judgment, right? And often things go wrong when you have kind of hard facts and kind of our human intuitions collide together. And so the book considers cases where there have been people who have achieved success making prediction, but also cases where you see widespread failures like the failures that led to the financial crisis, for example. You know, the failures of political pundits on TV. or if you go back and look at the McLaughlin Group, for example, which they'll have their authors come on at the end of the show. Yeah, it's at the end of every hour.
Starting point is 00:20:34 Go around, give me a prediction. Go around, give me a prediction. So actually I went and looked, and it took a while, right? But I went through the transcripts and wrote down all their predictions and then went back and evaluated how they had done, right? And they got exactly half right, right? So they were as good as flipping a coin and no better. But part of it is there's a demand for expertise, I think.
Starting point is 00:20:59 There's a demand for someone to come on TV or radio and play the role of the expert. But it doesn't have very much to do with the actual accuracy of their information. You say that weather forecasters and gamblers are success stories when it comes to predictions. Yes. How so? Well, the difference with weather forecasters and gamblers is that they're both used to thinking in terms of probabilities. So you see on the Weather Channel that there's a 20% chance of rain, for example. Some people get very frustrated with that because they're like, why can't these guys tell me exactly what's going to happen?
Starting point is 00:21:36 And the reason is that, well, they can't, but neither can anyone else, and they know they can't, and that helps to make them better. Weather forecasts, they're considered a joke by some people, and that used to be kind of true, that really they would miss the high temperature by an average of 7 degrees, right, a couple days in advance. But now that error has been cut in half, and for something like hurricanes, where if you have a hurricane sitting right now in the Gulf of Mexico three days before landfall, they can pinpoint, on average, the landfall location 72 hours in advance by about 100 miles, which means you can evacuate, say, the southern tip of Alabama or Mississippi or a certain part of Florida, not with guaranteed success, but where it's prudent and saves lives to evacuate. 20 or 25 years ago, you couldn't do that at all, where literally if you had a hurricane in the Gulf of Mexico, it was equally likely, as far as they knew, to hit Tallahassee, Florida, and Houston, Texas. So the whole kind of crescent of the Gulf Coast was in play. So that's a case where there have been very tangible, practical improvements,
Starting point is 00:22:38 and it's because the weather forecasters knew that if we can think probabilistically and say, here's what we know and here's what we don't, despite having more and more powerful computers, then you can start to make progress. We're trying to close that gap between what we think we know and what we really know. If you can work on both ends of that, and the book tries that, it says, well, first of all, let's admit that some things are going to be very hard to predict. Predicting the direction of the American economy more than a couple months in advance is intrinsically a very hard problem.
Starting point is 00:23:05 On the other hand, we can do some things to be more data-driven and make us better and smarter. And so we up our skill level at the same time. We're a little bit more humble and modest about what we're likely to accomplish realistically. You're listening to Motley Fool Money, talking with Nate Silver. His new book is The Signal and the Noise, Why So Many Predictions Fail, But Some Don't. Let's stick with the economy, because the conventional wisdom is that the stock market is a leading indicator. And right now, we're at about a four-year high for the stock market. Does that, in your mind, predict a faster recovery for the economy overall? So, what's interesting is that I think investors
Starting point is 00:23:46 and kind of economists have different biases. So I've gone back and looked at cases where you had, so right now, for example, the forecasts of GDP are quite bearish, where people still think it's going to chug along at 1.8% or 2.1%. So it's been rare historically when you had a very bullish market and a bearish GDP forecast. And what happens is actually you do tend to beat the GDP forecast when the market's going up as much as it has.
Starting point is 00:24:19 I think one good thing about investors is that they don't have to worry about being politically correct. Whereas if you're making a prediction where you have reputation on the line more than money, your incentives are different, you might not want to stick out too much, right? It might be easier to say, well, the economy's been bad for a long time,
Starting point is 00:24:39 so I can stay more in consensus by saying it's going to continue to be bad, right? And of course, investors have their own issues with believing maybe too much in the sentiment sometimes. But there is a lot of power in having a lot of independent information coming together. The 90% of the time I say that markets are functioning well, that can be a beautiful thing. And of course, there's either 10% of the time where you have bubbles and you have panics, and you have collectively very irrational behavior. But taken on the whole, there is macroeconomic information, as far as I've found, in the S&P 500 and the Dow.
Starting point is 00:25:20 Why do you think more people didn't predict the financial crisis that we saw in 2008? Why didn't more people see that coming? Well, part of it is you had a number of dominoes unfolding, and I think this is almost more of the kind of Taleb-Black-Swan type argument, right? But where I think people don't realize how the risks in different parts of the economy are correlated with one another. So you think, okay, so this is the whole problem behind,
Starting point is 00:25:46 for example, the rating agencies thought, well, we're going to take all these different mortgages and bundle them together and repackage them. And, you know, by the miracle of diversification, we'll take a bunch of kind of B-plus, you know, B-rated crap. And they'll be AAA. Yeah, yeah, yeah, right? Because they assume that what happens to, like, a carpenter in Cleveland and a dentist in Denver are independent from one another, right?
Starting point is 00:26:09 But, of course, if you have a housing bubble that bursts and everyone is facing the same conditions, then the risks are hugely correlated. And so the whole structure blows up, and they defaulted at rates that were literally hundreds of times what was expected. And then you further leverage that with the fact that in addition to just having the actual effects of people having mortgages underwater itself, I mean, just the sheer volume of betting, side betting on the housing market was astounding. For every actual dollar that exchanged hands with someone buying or selling a home, there were about $50 worth of side bets. And so instead of being a severe but localized problem, it became a global problem. the title of your book is The Signal and the Noise. When it comes to the stock market, what do you think is the noise that the average investor would be wise to just tune out? Well, I think a lot of the day-to-day fluctuations, right? Where if you look at the stock market over
Starting point is 00:27:09 intervals of 10 years or 15 or 20 years, it does display certain types of predictable behavior, right? Where if the P-E ratios get too high, it's been a pretty reliable predictor of a market that will achieve below-average growth, or even maybe a favorite to decline over the long term. But over the short run, it's a bit different, where I think, you know, when Alan Greenspan described the market as being irrationally exuberant, right? If you had invested your money at that time and had the hindsight or the foresight to sell right at the peak of the Nasdaq bubble, you would still have made three or four times your money back. And so in the book, I quote from the economist Fisher Black, and that's kind of where my 90 percent, 10 percent conception comes in, because normally it's a healthy strategy in life to pay some attention to what your neighbors are doing and to say, well, it's probably not the case that if everyone else thinks this is a good idea, that my theory is better than theirs.
Starting point is 00:28:14 Right. And if everyone else thinks these these CDOs are safe, then, you know, who am I to say to say differently? But there is that 10 percent of the time where that herd mentality kind of leads us off a cliff. And I think it's just kind of the price that that we pay for for having markets where where people are reacting to one another. Right. You know, the benefits to every information are sometimes compromised. people lose their independence. And one thing you worry about a little bit now, right, is that people become so efficient, some of the banks are kind of developing their algorithms and so forth,
Starting point is 00:28:53 that there's kind of no more almost species diversity as much, right? And so everyone's kind of doing the same thing. And if one fund goes down, then a whole bunch might as well. So it's a little bit frightening. It's also a little bit frightening, by the way, just how many trades are being are being made right there's some notion that um well the market's becoming more efficient well if the market's efficient then you wouldn't have very much reason to trade um but the volume just the volume of of shares that change hands is increasing um very
Starting point is 00:29:24 very quickly so now the average share of common stock is traded once every every six months and it was once every six years back in the 50s and 60s so it really has become an investment now where where you buy stocks to trade them and not to hold them. And that changes the climate, I think, quite a bit. I was going to say, it seems like with so much more information available to so many more investors, individual investors, and of course, institutional investors, fund managers, et cetera, it would seem like in some ways it's harder than ever for an investor to have any kind of edge in terms of predicting where a stock price is going to go. Well, maybe that's true, but it makes it easier for people to think they have an edge, right?
Starting point is 00:30:12 So in the book, and this is going to come from a different kind of historical era, but I talk about what happened when you had the printing press invented, and all of a sudden there were books when there weren't really any books before, and people had a lot more information, exponentially more, than they had a generation earlier. And the first thing that people did is kind of read books that proselytize different religious ideas. And so you had, you know, hundreds of years of holy war in Europe, right, where it's like, well, now there's way more information than I can get a handle on myself. So I have to pick and choose what I read. And people, I think, forget that, you know, the subset of information that you come across is not the only information in the world, but you become devoted into it and believe deeply into it.
Starting point is 00:30:55 And that's kind of why you have people willing to make so many bets, I think, in the market, and the volumes are increasing so much, is that people kind of cherry-pick, whether consciously or not, what information they look at. And they assume that because they're in possession of it, because they read it, that this information is especially worthwhile, and often it's not. So you're saying the specious and incorrect information that's available, widely available on the internet today, that was going on in Gutenberg's time as well? Yeah, you see this precedent where, look, people eventually get better at processing information, right? But the volume of information we have in the world today is astounding, right? Where we're generating, I don't know the figure offhand, but it's quintillions of bytes of data each day, right? Where it would take all of humanity, all 7 billion people, hundreds of lifetimes to go through it, right? And so there's kind of this – the signal-to-noise ratio is waning because you have more information than you have useful information.
Starting point is 00:31:58 A lot of it's just kind of crap and kind of should go in your spam folder, so to speak. You know, you look at CNBC or Bloomberg or you see all this data and you think, oh, there must be some real insight there. And, you know, maybe there is a little bit, but you have to sort through an awful lot of hay to find that needle that might give you some extra advantage. Coming up, more with Nate Silver, including a look ahead to the presidential election. Stay right here. You're listening to Motley Fool Money. I had my big money. I had everything going my way.
Starting point is 00:32:39 Welcome back to Motley Fool Money. Chris Hill here in the studio with Nate Silver of the New York Times, author of the new book, The Signal and the Noise. You are perhaps best known for your political forecasts and your blog, FiveThirtyEight.com. What is the toughest part of political forecasting? Well, it's tough with presidential elections because you don't have very much of a case history, really, where we've had. I think this is the 17th election since World War II. And, you know, if you have a complex phenomenon where a lot of things factor into how people vote, the economy and wartime, peacetime and incumbency and so forth, what you ideally want for a fiscal model is to have hundreds of cases to test it upon, right? Then you can say with some subtlety, for example, which economic variables matter more to people.
Starting point is 00:33:35 Is it the trajectory at the end of the fourth year of a president's term or over the whole four-year term, right? And is it jobs or income or GDP or the stock market or what else, right? But we don't have anywhere near enough data to test those assumptions for presidential elections, and things are also always changing too. And so you frankly have to make some educated guesses. You have to say, OK, here's what I think is the strongest theoretical justification for how voters might behave. But you can't be as purely empirical about it as you can in baseball, where you have 700 players playing a season every year, right? Then it is kind of the pure-arched, I'm just going to kind of fit a statistical model and then take it off the shelf and use it to make predictions, and you're fine. But in presidential elections, if you're not careful, you can get yourself in a lot of trouble.
Starting point is 00:34:26 Right now, as of this interview, the model that you have on the FiveThirtyEight.com blog for the presidential election, I believe you have 82 percent chance that President Obama wins re-election. Yeah. So my question is, what goes into that 18 percent for Governor Romney winning? What is the biggest unknown that makes you in your model say, well, that's what's going into the 18 percent chance? Well, the economy is still a part of it. So the way the model works is it kind of combines polling data with economic data. And as we get closer to the election, the polling data gets more and more weight. And the rationale behind that is that at some point, if there are economic things that are going to change voters' minds, they should be priced into the polls, right?
Starting point is 00:35:14 So it kind of abandons the idea that, oh, things are going to change radically if it turns out that people haven't changed their minds yet. But we still have enough time for a crisis in Europe to worsen, for a couple of bad sets of employment numbers. We're going to have a GDP number out for the third quarter before the election, which people are pretty pessimistic about. So there will be a couple of hooks for Romney to put his hat on and say, OK, here's some bad economic news. Although now it looks like he might need to have some sort of an acute crisis where, you know, if we have a jobs number come in at 55,000 when the forecast is 110, that's probably not going to do it. A negative jobs number, I think, might. A 1,000-point drop in the Dow over the course of a week because Europe looks like it's blowing up, that could definitely matter. But I think Obama now is close enough to 50 percent of the vote where in these polls, it's not just that he's ahead of Romney by five or six or seven points, that he's often at 50 percent or 51 percent in some of the swing states, which means that Romney would now have to unpersuade people who right now say they're going to vote for Obama.
Starting point is 00:36:30 And that could require something to knock people out of their sense of complacency about kind of where the election is headed. We will wrap up with a round of Buy, Sell, or Hold. In 2007, you created an online competition to determine the best one in Chicago's Wicker Park neighborhood. Buy, Sell, or Hold burritos. Oh, buy, yeah. Although, in New York, we have fairly weak burrito options, I think, right? Get to work, New York City. They've won the Fall Classic twice in your lifetime, and they're headed to the playoffs again.
Starting point is 00:37:02 Buy, Sell, or Hold the Detroit Tigers winning the World Series this year. I have to buy it because my parents might be listening to this. You gave this drink partial credit for helping you finish writing your new book. Buy, Sell, or Hold Red Bull. As a stock, I guess I'd buy it. It seems like we're getting more and more busy now, right? And people need more and more kind of stimulation. It's pathetic, by the way, when you're like, I don't have time to go get coffee.
Starting point is 00:37:27 I'm going to have to go to Rite Aid and get a Red Bull. And finally, I'm assuming that your publisher did not predict this, but your new book debuts the same week as her new book. Buy, sell, or hold the chances of your book selling more copies than J.K. Rowling's? Oh, I'll buy that. I don't mind if I'm losing to the Navy SEALs book or Bob Woodward, but I know we have no chance in hell of beating her. But it would be nice. Yeah, yeah, yeah. In 2009, Time magazine named Nate Silver one of the world's 100 most influential people.
Starting point is 00:38:05 His new book is The Signal and the Noise, Why So Many Predictions Fail, But Some Don't. Nate, thank you so much for being here. Yeah, thank you. That's going to do it for this week. You can always drop us an email. Radio at fool.com is the way to get a hold of us. You can also follow us on Twitter, at Motley Fool Money. The conversation continues 24-7 online at our flagship website, fool.com.
Starting point is 00:38:27 That's it for this edition of Motley Fool Money. Our engineer is Steve Broido. Our producer is Mac Greer. I'm Chris Hill. Thanks for listening. We will see you next week.

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